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Research Paper

The new normal: Digital transformation of the business world and digitalization

The COVID-19 pandemic currently plaguing the world has engendered many disruptions around us, with extremely dramatic effects on not only business activities and people but also on the global economy and its future. The victims of the unprecedented outspread of the pandemic have been primarily Micro and Small Enterprises, especially in developing countries. Not just that, many large enterprises have been forced to reevaluate their business models, resulting in variations in growth patterns in the business world. During this time too though, new avenues have opened, and there has been an evident rapid growth in the digitalization sector. Despite the large-scale digitalization across the world, businesses, especially SME’s have landed in a slump due to the lack of resources, disruption of the supply chain as well as lack of sustainability and ability to cope with the digitalization of businesses around them. The pandemic has also exposed real-world challenges faced in digitalization, while developing avenues of growth yet to be explored. This paper discusses significant changes and problems faced by the business world, how digitalization reshapes businesses and their working during the pandemic and what new avenues and problems the world may face due to the advent of COVID-19 and the simultaneous emergence of a new era led by digital transformation.

Published by: Rudra Gupta

Author: Rudra Gupta

Paper ID: V8I3-1292

Paper Status: published

Published: May 18, 2022

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Case Study

Social costs and its accounting of prawn farming in west Bengal

Prawns have good domestic and international markets. Prawns may be caught or cultured. Prawn culture is aquaculture. Prawn culture is carried on three districts in West Bengal such as North 24 Parganas, South 24 Parganas, and Purba Midnapore. Prawn culture in these districts plays a vital role in providing gainful employment in rural areas earning foreign exchange and improving the economy. But prawn culture has some bad effects on the environment. The externalities of prawn culture are reduction of cultivation work, threatening food security, ecological imbalance, diminishing fertility of the land, environmental degradation, salination of drinking water, ill health, skin diseases, social pollution, etc. These costs destroy the socio-economic balance of the coastal area. So these costs need to be accounted for in environmental Accounting. Primary data are used for this exploratory research. Some good management practices should be followed to make sustainable prawn farming reducing externalities.

Published by: Dr. Taposh Kumar Paul

Author: Dr. Taposh Kumar Paul

Paper ID: V8I3-1288

Paper Status: published

Published: May 18, 2022

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Research Paper

Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN

In the changing world, automatic face recognition (AFR) systems have achieved numerous advancements. Smart Attendance with Real-Time Face Recognition is a practical option for dealing with day-to-day tasks. Attendance system for students Attendance is based on the recognition of faces. This is a method of recognizing a student's face in preparation for a test. Face biometrics based on high-definition images are used to track attendance. keep an eye on video and other forms of information technology in front of my face, A computer system will be able to find and recognize people as part of the recognition project. In photos or videos, distinguish human faces quickly and precisely are being filmed on video by a surveillance system. Numerous Improved algorithms and methodologies have been developed for Face recognition performance, but the concept to be Deep Learning is used in this case. It aids conversion.

Published by: Chintapalli Mohan Kumar, Dr. Vanitha Kakollu

Author: Chintapalli Mohan Kumar

Paper ID: V8I3-1256

Paper Status: published

Published: May 18, 2022

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Research Paper

Women workers in construction sector of Kerala –An insight into their economic condition

The economic development of a country depends on the growth of Industry and technological development. The transition from an agriculture-oriented economy to an industry-based seems to be a major landmark. Building construction is a concomitant factor of industrial development. Construction activities create larger employment opportunities for a considerable number of workers. The construction workers are mainly working in informal or unorganized sectors. Basic problems faced in this field include disparity in wages, health issues, discrimination, economic problems, etc. The main objective of the study is to analyze the economic and social conditions of women working in the construction sector. The study reveals the weaker economic conditions of women construction workers. Lack of fixed income and varying working hours continues to haunt them. Their income is found insufficient for their subsistence. The study also revealed that out of the sampled women construction workers most of them depend on loans for meeting their needs of existence. They are not getting work on all days of the month and hence occupational safety is found to be lacking.

Published by: Dr. T. Shameerdas

Author: Dr. T. Shameerdas

Paper ID: V8I3-1294

Paper Status: published

Published: May 18, 2022

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Others

Part Presence Detection and Counting using Advanced Image Processing

Part presence detection, part counting, and part inspection are major steps involved during a quality inspection in various stages of production in any production line. Quality inspection in most industries is done by quality inspectors or operators depending on the stage of production. Visual inspections by humans can cause variations in accuracy and results due to differences among workers. Part presence can be detected by using electronic/electrical sensors. But in cases where there is a large number of components/parts, the number of sensors to be used also increases. This leads to the development of complex systems. As the need for Factory automation has increased in recent times, there is a need to increase the rate of production. Replacing manual intervention with an automated system is an ideal solution. This can be successfully achieved by introducing machine vision and image processing technologies in the automated process. Since machine vision offers high image transmission and high image processing it is easier to achieve reliable and accurate results. Systems that provide these solutions are already available in the market. But these systems are highly expensive and only target large-scale customers that can afford such solutions. This arises a need for solutions that are cost-effective and reliable to target customers with simpler image processing requirements. The main objective of this project is to develop and provide simple low-cost machine vision solutions to customers.

Published by: Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S Saravana Kumar

Author: Jhanavi Trilok

Paper ID: V8I3-1287

Paper Status: published

Published: May 16, 2022

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Research Paper

Explore the factors affecting students’ success in the first- year of college

The United Arab Emirates invests great resources in the education of their youth to ensure they can continue and improve the legacy of the nation’s founding fathers. As such, the government pumps in billions of dirhams annually to build an innovative, learned, and globally competitive society (MOE Website, 2021). However, at a crucial transition point, something is missing. Studies found that in some parts of the country up to 45% of high-school seniors, and young Emirati nationals are not interested in pursuing higher education (Bayoumi et al., 2016). This and probably other elements contribute to a disturbingly common phenomenon of Emirati students struggling to succeed in their first year of college. In light of this problem, this exploratory research seeks to analyze the factors that affect freshmen year success among Emirati students in particular. A qualitative method is suggested to identify the main challenging factors that hinder the success of the demographic studied and address those challenges to maximize success.

Published by: Malika Elmelyany

Author: Malika Elmelyany

Paper ID: V8I3-1279

Paper Status: published

Published: May 16, 2022

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